class_docstr: Integration tests ensuring supported models are correctly exported.
code: def test_tensorflow_export(
      self,
      test_name,
      name,
      model_name,
      task,
      tflite_config_class_constructor,
  ):
      self._tflite_export(
          name, model_name, task, tflite_config_class_constructor
      )
  
imports: from contextlib import nullcontext
  from pathlib import Path
  from tempfile import NamedTemporaryFile
  from typing import Dict, Optional, Union
  from unittest import TestCase
  import pytest
  from parameterized import parameterized
  from transformers import AutoConfig, is_tf_available
  from transformers.testing_utils import require_tf, require_vision, slow
  from optimum.exporters.tflite import TFLiteQuantizationConfig, export, validate_model_outputs
  from optimum.exporters.tflite.base import QuantizationApproachNotSupported
  from optimum.utils import DEFAULT_DUMMY_SHAPES
  from optimum.utils.preprocessing import Preprocessor
  from optimum.utils.save_utils import maybe_load_preprocessors
  from ...utils.test_task_processors import TASK_TO_NON_DEFAULT_DATASET
  from ..exporters_utils import PYTORCH_EXPORT_MODELS_TINY
label_desc: Use image node_id 2 for calling the TFLiteExportTestCase obj's underlying member method code with example usage: obj.test_tensorflow_export(test_name, name, model_name, task, tflite_config_class_constructor) without return types